Understanding Decision Intelligence and AI Implementation

The chapter explores the history of scientific thought, emphasizing the challenges of data utilization in company silos and the importance of decision intelligence for effective AI implementation. It discusses the limitations of AI in comprehending complex causal relationships, highlighting the evolving field of decision science. The conversation stresses the role of decision modelers in bridging the gap between technology and human understanding for successful outcomes.